Implementing Supply Chain Analytics
About this course
In the Implementing Supply Chain Analytics: Descriptive, Diagnostic, Predictive and Prescriptive course, you’ll discover how implementing analytical methods, models, and tools helps decision-making become more efficient. You’ll use different types of methods, models, and tools, depending on specific business scenarios or needs, to help you analyze the current state of the supply chain and to lead you to insightful solutions. You’ll also explore the utilization of supply chain models to evaluate and question the data to optimize the flow of goods, information, and cost in a supply chain to help identify potential improvements, determine the most efficient or practical course of action, and to communicate the impact to the customer. By the end of this course, you’ll be able to: Interpret historical data effectively using descriptive analytics. Forecast the most probable outcomes, projects, or future. scenarios, along with their business implications, using predictive analytics. Collaborate and make recommendations that maximize business value, addressing problems through prescriptive analytics. Describe the appropriate communication channels to display and summarize the data results and Supply Chain recommendations. Use supply chain models to evaluate and optimize the flow of goods, information, and sots with a supply chain.
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- Who stands behind it
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Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Interpret historical data using descriptive analytics
- Forecast probable outcomes using predictive analytics
- Collaborate and offer solutions through prescriptive analytics
- Communicate data results and supply chain recommendations effectively
- Optimize the flow of goods and information in a supply chain
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